Which components are essential for end-to-end data governance in Fabric?

• A. Only data owners and access policies.
• B. Catalog and retention rules only.
• C. Data owners, access policies, lineage, catalog, data quality checks, retention rules, and monitoring; enforce via roles and policies.
• D. Monitoring only.

Answer: (C)

End-to-end data governance in Fabric requires coordinating ownership, access control, metadata, lineage, data quality, lifecycle rules, and continuous oversight, all enforced through roles and policies. Data owners establish accountability for data assets; access policies enforce who can use or modify the data; lineage provides visibility into where data comes from and how it’s transformed, which supports trust and impact assessment; the data catalog stores metadata to help users discover and understand datasets; data quality checks ensure accuracy and consistency; retention rules govern how long data is kept and when it’s disposed of; monitoring offers ongoing visibility into data usage, health, and policy compliance. When these elements work together and are enforced by well-defined roles and policies, governance is applied consistently across all data assets. The other options omit key components—ownership, lineage, catalog, quality, or monitoring—and thus don’t provide the full, end-to-end governance framework.